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Health Tech, Healthcare, Software

Senior Data Scientist

Remote, United StatesRemoteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

Pearl is seeking a Senior Data Scientist to advance its AI-driven dental products. This role involves leading data science projects, analyzing complex datasets, building statistical models, and partnering with engineering teams to productionize ML systems. The ideal candidate will have a strong foundation in statistics, data processing, machine learning, and applied AI, with hands-on experience in Python, SQL, cloud platforms, and MLOps practices. This high-impact position requires 8+ years of experience and offers the opportunity to work on mission-driven technology in a fast-growing AI company.

About Pearl

Pearl is transforming dentistry through artificial intelligence. Our FDA-cleared computer vision and AI solutions help dental professionals detect disease earlier, improve patient outcomes, and deliver better care at scale. Backed by world-class investors and trusted by thousands of dental practices, Pearl is redefining what’s possible in oral healthcare.

The Role

We’re looking for a Senior Data Scientist to play a critical role in advancing Pearl’s AI-driven products. You’ll work closely with product, engineering, clinical, and business stakeholders to turn complex data into actionable insights and scalable solutions.

This is a high-impact role for someone who thrives at the intersection of data science, product thinking, and real-world healthcare applications.

What You’ll Do

  • Lead the design and execution of data science projects that directly impact Pearl’s AI products and business outcomes

  • Analyze large, complex datasets to uncover insights, trends, and opportunities

  • Build and validate statistical models, experiments, and predictive analyses

  • Partner with engineering and ML teams to productionize data science work

  • Define metrics and KPIs to measure product performance and clinical impact

  • Communicate findings clearly to technical and non-technical stakeholders

  • Mentor junior data scientists and promote best practices across the team

Qualifications

  • Bachelor’s or advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field)

  • 8+ years of experience in Data Science, Machine Learning, or Applied AI roles

  • Strong foundation in statistics, data processing, and machine learning techniques, with hands-on experience using widely adopted open-source frameworks

  • Proven track record of developing and deploying production-ready machine learning systems, including experience with MLOps practices.

  • Advanced proficiency in Python and SQL, with experience working in modern cloud data warehouses such as Snowflake

  • Experience working with cloud platforms and designing scalable data and ML solutions

Why Pearl

  • Work on mission-driven technology that improves patient care

  • Join a fast-growing AI company with real clinical impact

  • Collaborate with a talented, interdisciplinary team

  • Competitive compensation, equity, and benefits

  • Flexible work environment

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